Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning ...

A positive and unlabeled learning (PUL) problem occurs when a machine learning set of training data has only a few positive labeled items and many unlabeled items. PUL problems often occur with ...

Facebook launched PyTorch Hub today for AI research reproducibility. PyTorch Hub publishes pretrained models by adding a file to a GitHub repository.

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

The open-source PyTorch project is widely used for machine learning (ML) training. Its anticipated 2.0 version is now generally available.

The popular PyTorch Python project for data scientists and machine learning developers has become the latest open source project to be targeted with a dependency confusion attack.

A vulnerability in the machine learning framework allows arbitrary code to be executed on the master node during distributed training.